Posted on: 02/12/2025
Role :
- Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.
- Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.
- Performing competitive benchmarking and industry research to support product strategy and prioritization.
- Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.
- Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.
- Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).
- Creating reports, visualizations, and presentations that simplify complex data for stakeholders and leadership.
- Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.
We are looking for :
- Bachelor's degree in engineering, statistics, business, economics, mathematics, data science, or a related field.
- Strong analytical, quantitative, and problem-solving skills.
- Proficiency in SQL and ability to work with large datasets.
- Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).
- Excellent communication skills - able to turn data into clear narratives and actionable recommendations.
- Ability to work collaboratively in cross-functional teams.
- Passion for product, user behavior, and data-driven decision-making
- Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.
- Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).
- Understanding of product management concepts and tools (Jira, Confluence, etc.).
- Knowledge of Python or R for data analysis (optional but beneficial).
- Exposure to consumer tech, mobility, travel, or marketplaces.
Mandatory Criteria (Can't be neglected during screening) :
- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.
- Need candidate with 1-2 years of pure Product Analyst experience is mandatory.
- Candidate must have strong hands-on experience in Product + Data Analysis + Python.
- Candidate should have Python skill on the scale of 3/5 at least.
- Proficiency in SQL and ability to work with large datasets.
- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.
- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).
- Candidate must have experienece in Jira.
- Strong communication skills with the ability to work with Product, Engineering, Business, and Ops teams.
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Posted in
Data Analytics & BI
Functional Area
Product Management
Job Code
1582981
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